Tech Lead - Data Science
Trane Technologies7 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Provide technical leadership for end-to-end AI/ML system development, including data ingestion, feature engineering, model deployment, and monitoring.
- Define scalable, secure, performant ML platform architecture and organizational standards.
- Evaluate, select, and integrate AI technologies, frameworks, tools, and GenAI solutions.
- Translate business requirements into ML architectures and solution roadmaps with product and domain teams.
- Oversee experimentation, versioning, deployment, monitoring, retraining, and continuous improvement across the ML model lifecycle.
- Mentor data scientists, ML engineers, and analysts and conduct reviews of ML pipelines, code, and solution designs.
- Drive MLOps workflows and partner with cross-functional teams to resolve complex ML and data pipeline issues.
- Advance best practices in AI architecture, model evaluation, documentation, data governance, compliance, and responsible AI.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related technical field; a master’s degree in Data Science is preferred.
- 9–12 years of experience in AI/ML development, advanced analytics, or data-driven software engineering.
- Deep expertise in machine learning algorithms, statistical modeling, neural networks, NLP, or computer vision.
- Strong proficiency in Python and AI/ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Keras.
- Hands-on experience designing and deploying ML models into production environments at scale.
- Strong understanding of GenAI techniques, LLMs, embeddings, vector databases, and prompt engineering.
- Proficiency with SQL and large, complex datasets.
- Experience with AWS SageMaker, Azure ML, or Google Vertex AI.
- Familiarity with MLOps tools and practices, including model registries, feature stores, and monitoring frameworks.
- Understanding of distributed computing, microservices, APIs, data engineering, ML security, governance, and responsible AI.
- Experience mentoring technical teams, managing stakeholders, defining AI roadmaps, and communicating complex concepts to technical and non-technical audiences.
Benefits
- Work onsite Monday through Thursday and choose the work location on Fridays based on work requirements.
- Inclusive Wellbeing Program supporting employees and families across physical, social, emotional, and financial well-being.
- Learning and development programs with higher education and certification reimbursement.
- Employee Resource Groups supporting inclusion, belonging, and community.
- Eight hours of paid time off per calendar year for volunteer work with nonprofit charitable organizations.
- Helping Hands Fund supporting employees facing unforeseen personal financial hardship.
- Comprehensive benefits and programs.
Categories
About Trane Technologies
Trane Technologies builds HVAC systems, controls, and energy services for commercial buildings and homes, and Thermo King transport refrigeration for trucks, trailers, and rail. It sells equipment, connected controls, and aftermarket service/maintenance contracts to building owners, contractors, and fleets. Founded in 1913, the company is publicly traded (NYSE: TT) and operates globally under the Trane and Thermo King brands from its global headquarters in Swords, Ireland.